OCI Data LabelingOracle
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Oracle Machine LearningOracle
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Related Products
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About
OCI Data Labeling is a service that enables developers and data scientists to build accurately labelled datasets for training AI and machine-learning models. It supports documents (PDF, TIFF), images (JPEG, PNG), and text, allowing users to upload raw data, apply annotations (such as classification labels, object-detection bounding boxes, or key-value pairs), and export the results in line-delimited JSON for seamless integration into model-training workflows. The service offers custom templates for different annotation formats, user interfaces, and public APIs for dataset creation and management, and smooth interoperability with other data and AI services, so annotated data can feed directly into custom vision or language models, as well as Oracle’s AI services. OCI Data Labeling lets users create a dataset, generate records, annotate them, and then use the export snapshot for model development.
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About
Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data scientists and ML engineers looking for a solution to create, annotate and export labelled datasets across image, document and text modalities to train and deploy AI/ML models at scale
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Audience
Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.0002 per 1,000 transactions
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/artificial-intelligence/data-labeling/
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/data-science/machine-learning/
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Categories |
Categories |
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Integrations
Oracle Cloud Infrastructure
Supported
Apache Hive
Not Supported
Apache Spark
Not Supported
Impala
Not Supported
JSON
Supported
Kinetica
Not Supported
MySQL
Not Supported
Oracle AI Agent Platform
Supported
Oracle Data Science
Supported
Oracle Database
Not Supported
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Integrations
Oracle Cloud Infrastructure
Supported
Apache Hive
Supported
Apache Spark
Supported
Impala
Supported
JSON
Not Supported
Kinetica
Supported
MySQL
Supported
Oracle AI Agent Platform
Not Supported
Oracle Data Science
Not Supported
Oracle Database
Supported
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